ZWE_2014_FIES_v01_EN_M_v01_A_OCS
DDI_ZWE_2014_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ZWE_2014_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ZWE_2014_FIES_v01_EN_M_v01_A_OCS
FAO Statistics Division
Nesstar Publisher
FAO Statistics Division
Socio-Economic/Monitoring Survey [hh/sems]
Food Insecurity
SDG
SDGs
Food Access
Zimbabwe
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Face-to-face par [f2f]
Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.
As part of the statistical disclosure control process, values for number of children and number of adults that were 10 or above, were recoded as "10+" and categories for area were combined into "urban/suburbs" and "towns/rural".
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
ZWE_2014_FIES_v01_EN_M_v01_A_OCS.NSDstat
This dataset contains the variables used to calculate the FIES-based indicator, deomographic variables and some derived variables calculated by FAO from the survey.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111147985
210912377
161947406.257
29042276.842
Worried you would not have enough food to eat because of a lack of money or other resources
998
2
0
No
362
1
Yes
636
Sysmiss
2
Unable to eat healthy and nutritious food because of a lack of money or other resources
999
1
0
No
384
1
Yes
615
Sysmiss
1
Ate only a few kinds of foods because of a lack of money or other resources
999
1
0
No
372
1
Yes
627
Sysmiss
1
Skipped a meal because there was not enough money or other resources to get food
997
3
0
No
497
1
Yes
500
Sysmiss
3
Ate less than you thought you should because of a lack of money or other resources
998
2
0
No
398
1
Yes
600
Sysmiss
2
Household ran out of food because of a lack of money or other resources
997
3
0
No
454
1
Yes
543
Sysmiss
3
Hungry but did not eat because there was not enough money or other resources for food?
1000
0
0
No
541
1
Yes
459
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
995
5
0
No
687
1
Yes
308
Sysmiss
5
Post-stratification sampling weights
1000
0
0.359
3.59
1
0.653
Year when the GWP was administered in the country
1000
0
1
1
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
250
02
02
373
03
03
197
04
04
113
05
05
46
06
06
15
07
07
5
08
08
1
Sysmiss
0
Number of children under 15 years of age in household
999
1
00
00
221
01
01
263
02
02
262
03
03
136
04
04
66
05
05
26
06
06
11
07
07
6
08
08
4
09
09
1
10
10+
3
Sysmiss
1
Sum of Affirmative responses to FIES questions
988
12
0
8
4.307
3.178
Estimated person parameters using the Rasch model
988
12
-2.746
3.309
0.27
2.325
Estimated person parameter errors using the Rasch model
988
12
0.667
1.223
1.016
0.223
Probability of being moderately or severely food insecure
988
12
0
0.998
0.576
0.448
Probability of being severely food insecure
988
12
0
0.879
0.297
0.37
Age of the respondent
1000
0
15
100
36.806
16.249
Education of the respondent
1000
0
1
Elementary_or_less
315
2
Secondary
656
3
College
26
4
Dont_know
2
5
Refused
1
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
308
2
Towns/Rural
692
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
405
2
Female
595
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
171
2
Second_20%
162
3
Middle_20%
199
4
Fourth_20%
198
5
Richest_20%
270
Sysmiss
0